IBM targets deep learning with first Power9-based systems

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The use of co-processors boosts overall performance by farming out tasks in parallel to the on-board accelerators, but the CPU creates a bottleneck, Gupta said. “The biggest problem is that the data comes through the network to the CPU memory, and every accelerator also has its own memory, so you ...

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